Relational Databases & SQL: Complete Guide for Developers


Learn Database Architecture, Data Modelling, MySQL, PostgreSQL with examples

What you will learn


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Relational Databases

Data Modelling

Database Architecture

SQL

MySQL Server & MySQL Workbench

PostgreSQL

Database Normalization & Denormalization

Database optimization

Indexes in Databases

JDBC

DML

DDL

ORM/JPA

Hibernate

Spring Data JPA

Spring JDBC

Add-On Information:

  • Unlock the core principles of data management, understanding how relational databases form the backbone of virtually all modern applications.
  • Master the essential techniques for designing optimal database schemas, ensuring data integrity, scalability, and maintainability for your projects.
  • Develop deep proficiency in SQL scripting, enabling you to confidently query, manipulate, and define complex data structures across various platforms.
  • Gain practical, hands-on experience with two industry-leading relational database systems, MySQL and PostgreSQL, and their powerful management tools.
  • Learn to critically evaluate and apply database normalization and denormalization strategies to achieve the perfect balance between data consistency and read performance.
  • Acquire advanced skills in database performance optimization, including effective indexing strategies, to ensure your applications run at peak efficiency.
  • Seamlessly integrate your Java applications with robust backend data stores using foundational JDBC drivers and advanced ORM solutions.
  • Effortlessly manage complex object-relational mapping scenarios using powerful frameworks like Hibernate, abstracting away raw SQL for cleaner code.
  • Harness the capabilities of Spring Data JPA and Spring JDBC to build highly efficient and maintainable data access layers within the Spring ecosystem.
  • Empower yourself to architect, develop, and troubleshoot data-driven applications, making you a more versatile and in-demand software developer.
  • Bridge the theoretical understanding of database architecture with practical development challenges, preparing you for real-world scenarios.
  • Build a comprehensive toolkit for handling data persistence, moving beyond basic CRUD operations to sophisticated transactional management.
  • Confidently debug and resolve common database-related performance bottlenecks and data integrity issues within your applications.
  • Position yourself to lead database design discussions and implement robust, scalable data solutions in any development team.
  • Grasp the critical importance of secure and efficient data handling, becoming a guardian of your application’s most valuable asset.

PROS:

  • Offers an exhaustive curriculum that spans from foundational database theory to advanced application integration, making it a true ‘complete guide’.
  • Provides practical, project-based learning with hands-on application of concepts using industry-standard tools and two distinct database systems.
  • Directly addresses the skills gap for developers, enhancing their ability to build high-performance, data-driven applications from end-to-end.
  • Empowers learners with the ability to optimize database performance, a highly sought-after skill in modern software development.
  • Includes modern Java persistence frameworks (Hibernate, Spring Data JPA) crucial for enterprise-level application development.

CONS:

  • A foundational understanding of Java programming is recommended to fully leverage the advanced application integration sections.
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